COVID-19 and firms’ financial health in Brescia: a simulation with Logistic regression and neural networks

Alberto Bernardi; Daniela Bragoli; Davide Fedreghini; Tommaso Ganugi; Giovanni Marseguerra

doi:10.3934/NAR.2021015

COVID-19 and firms’ financial health in Brescia: a simulation with Logistic regression and neural networks

Alberto Bernardi, Daniela Bragoli^*, Davide Fedreghini, Tommaso Ganugi, Giovanni Marseguerra

^*Autore corrispondente per questo lavoro

SACMI

Risultato della ricerca: Contributo in rivista › Articolo in rivista

Abstract

COVID-19 has generated an unprecedented shock to the global economy causing both the decrease in demand and supply. The purpose of this paper is to simulate the effect of COVID-19 on firms’ financial statements in Brescia. The shocked information is then fed into two bankruptcy models with the aim of providing an up-to-date picture of firms’ economic health in one of the most prosperous industrial areas in Italy and Europe.

Lingua originale	English
pagine (da-a)	293-309
Numero di pagine	17
Rivista	NATIONAL ACCOUNTING REVIEW
Volume	volume 3
DOI	https://doi.org/10.3934/NAR.2021015
Stato di pubblicazione	Pubblicato - 2021

Keywords

COVID-19
financial statements
logistic regression
neural networks

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10.3934/NAR.2021015

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abstract = "COVID-19 has generated an unprecedented shock to the global economy causing both the decrease in demand and supply. The purpose of this paper is to simulate the effect of COVID-19 on firms{\textquoteright} financial statements in Brescia. The shocked information is then fed into two bankruptcy models with the aim of providing an up-to-date picture of firms{\textquoteright} economic health in one of the most prosperous industrial areas in Italy and Europe.",

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author = "Alberto Bernardi and Daniela Bragoli and Davide Fedreghini and Tommaso Ganugi and Giovanni Marseguerra",

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AU - Ganugi, Tommaso

AU - Marseguerra, Giovanni

PY - 2021

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KW - COVID-19

KW - financial statements

KW - logistic regression

KW - neural networks

KW - COVID-19

KW - financial statements

KW - logistic regression

KW - neural networks

UR - http://hdl.handle.net/10807/183954

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DO - 10.3934/NAR.2021015

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ER -

COVID-19 and firms’ financial health in Brescia: a simulation with Logistic regression and neural networks

Abstract

Keywords

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